Ad Insertion Timing Based on Consumer Interest Levels
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Solution Overview
Problem
Traditional methods for inserting advertisements into digital content items often result in negative consumer reactions, such as abandoning the content, due to inappropriate timing and placement, which can lead to revenue loss for content creators.
Innovation Solution
Implementing a system that strategically places advertisements based on consumer interest levels, preferences, and feedback, using algorithms to determine optimal insertion points within the digital item's temporal flow, allowing for personalized and dynamic content customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisements are inserted into digital content items, then revenue is generated, but consumer satisfaction deteriorates leading to abandonment of content
Solution Approach 1:
The patent applies local quality by making advertisement placement location-specific and context-dependent. Different locations within the digital content item have different characteristics (e.g., beginning, middle, end, high-interest areas, low-interest areas), and advertisements are selectively placed in locations that minimize consumer abandonment while maximizing revenue. The system evaluates multiple potential insertion points and chooses optimal locations based on content characteristics and consumer behavior patterns.
Solution Approach 2:
The patent implements dynamics by making the advertisement insertion process adaptive and flexible rather than static. The system dynamically determines insertion locations based on various factors including consumer feedback, content type, advertisement type, and real-time conditions. The placement strategy can change and optimize over time, allowing the system to adapt to different scenarios and continuously improve consumer satisfaction while maintaining revenue generation.
2Productivity
If traditional advertisement insertion methods are used, then revenue is generated, but consumer engagement deteriorates
Solution Approach 1:
The patent applies feedback by incorporating consumer responses and behavior data into the advertisement placement decision-making process. The system monitors consumer engagement metrics, abandonment patterns, and feedback signals, then uses this information to optimize future advertisement insertion locations. This closed-loop approach allows the system to learn from consumer reactions and continuously improve placement strategies to maintain both revenue and engagement.
Solution Approach 2:
The patent implements parameter changes by adjusting various parameters of advertisement insertion including location, timing, frequency, and type based on content characteristics and consumer behavior. The system modifies insertion parameters dynamically to optimize the balance between revenue generation and consumer engagement, rather than using fixed traditional methods.
3Ease of manufacture
If advertisements are placed without strategic consideration, then insertion simplicity is maintained, but consumer satisfaction deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-analyzing digital content items to identify optimal advertisement insertion locations before actual insertion occurs. The system evaluates content structure, identifies high and low interest areas, and determines best placement points in advance. This preliminary analysis enables sophisticated strategic placement without adding complexity to the actual insertion process, as the decision-making is prepared beforehand.
Solution Approach 2:
The patent introduces an intermediary component (the advertisement insertion system) that mediates between the advertisement content and the digital content item. This intermediary analyzes both the advertisement and the host content, determines optimal insertion points, and executes the insertion strategically. The intermediary handles the complexity of decision-making, allowing simple automated execution while achieving sophisticated placement results that minimize negative consumer reactions.
Data Source
AI summary
Digital content items may include additional content such as advertisements. Placement of the additional content may be based on a characteristic of the digital content item and/or a characteristic of a consumer of the digital content item. In one implementation, a level of interest is determined for multiple time points in a digital content item and an advertisement is located in the digital item based on the level of interest.